Predicting The California Bearing Ratio Applying The Automated Framework Of Regression Model

The construction of flexible pavement on expansive soil subgrade necessitates the precise determination of the California Bearing Ratio (CBR) value, a crucial aspect of flexible pavement design. However, the conventional laboratory determination of CBR often demands considerable human resources and...

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Bibliographic Details

Published in:	Journal of Applied Science and Engineering Vol. 28; no. 7; pp. 1435 - 1447
Main Authors:	Pan Hu, Jing Jin, Yu Yun
Format:	Journal Article
Language:	English
Published:	淡江大學 01.07.2025 Tamkang University Press
Subjects:	aquila optimizer california bearing ratio dynamic arithmetic optimization algorithm random forest slime mould algorithm Dynamic Arithmetic Optimization Algorithm Slime Mould Algorithm California bearing ratio Aquila Optimizer Random Forest
ISSN:	2708-9967, 2708-9975
Online Access:	Get full text
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